Author:
Vinichenko Igor I.,Trusova Natalia V.,Kalchenko Sergey V.,Pavlenko Olena S.,Vasilev Sergiy V.,Holovko Roman A.
Abstract
The article considers a comprehensive methodological approach to protect the competitiveness of farms in the macro- and micro-environment of multifactor risk, taking into account the balanced component of competitive advantages of small agricultural businesses. From the standpoint of the implementation of the integrated value, multifactorial risk factors in the system of competitiveness protection are substantiated, which are associated with the problems of adequate resource management and ensuring the economic performance of farms in the future. A methodical approach to modeling multifactorial risk is proposed, which determines the simultaneous influence of formative and distributed factors in their direct and cross-activation relative to each other. The interrelation of cross-activation of basic factors of external and internal environment is formed, which provides protection of competitiveness of farms in macro- and micro-environment of multifactorial risk. Based on the results of the sensitivity analysis, the target factors of change for controlling the protection system, factors-levers of management, for influence on the protection system and factors-indicators, for protection of the problem situation are singled out. The level of protection of competitiveness of farms in the economic zones of Polissya, Forest-Steppe and Steppe of Ukraine by factors-indicators is analyzed. The potential level of profitability of economic activity of farms by regions of Ukraine is determined. The influence of the efficiency of farms on the level of their competitiveness is determined and the assessment of multifactorial risk within the production of agricultural products is carried out. Scenarios of cognitive modeling are determined. They determine the impulses of interaction of basic factors and optimal values of weighted coefficients of protection of competitiveness of farms in macro- and micro-environment of multifactor risk.
Publisher
Editorial Universidad de Almeria
Subject
Economics and Econometrics
Cited by
3 articles.
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